// Copyright 2020 The TensorFlow Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

import TensorFlow

// This is a convenience function to provide a two-argument version of softmaxCrossEntropy()
// for common image-based training loops.
@differentiable
public func softmaxCrossEntropy<Scalar>(logits: Tensor<Scalar>, labels: Tensor<Int32>) -> Tensor<
  Scalar
> where Scalar: TensorFlowFloatingPoint {
  return softmaxCrossEntropy(logits: logits, labels: labels, reduction: _mean)
}
